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» Mining Multiple Large Databases
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136
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SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
15 years 4 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
110
Voted
PERCOM
2007
ACM
16 years 2 months ago
Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays
Activity monitoring, a crucial task in many applications, is often conducted expensively using video cameras. Also, effectively monitoring a large field by analyzing images from m...
Yunhao Liu, Lei Chen 0002, Jian Pei, Qiuxia Chen, ...
KDD
2005
ACM
182views Data Mining» more  KDD 2005»
16 years 2 months ago
Making holistic schema matching robust: an ensemble approach
The Web has been rapidly "deepened" by myriad searchable databases online, where data are hidden behind query interfaces. As an essential task toward integrating these m...
Bin He, Kevin Chen-Chuan Chang
SSDBM
2003
IEEE
105views Database» more  SSDBM 2003»
15 years 7 months ago
Using Bitmap Index for Interactive Exploration of Large Datasets
Many scientific applications generate large spatiotemporal datasets. A common way of exploring these datasets is to identify and track regions of interest. Usually these regions ...
Kesheng Wu, Wendy S. Koegler, Jacqueline Chen, Ari...
131
Voted
DIS
2009
Springer
15 years 9 months ago
Using Data Mining for Wine Quality Assessment
Certification and quality assessment are crucial issues within the wine industry. Currently, wine quality is mostly assessed by physicochemical (e.g alcohol levels) and sensory (e...
Paulo Cortez, Juliana Teixeira, António Cer...